After demographic analyses of the ATTC BP, the data reveals that the characteristics of the client are similar regardless if a

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Substance Abuse and Mental Health Services Administration
Center for Substance Abuse Treatment
Addiction Technology Transfer Centers Program


Introduction

The Addiction Technology Transfer Center (ATTC), a cooperative agreement program supported by the Substance Abuse and Mental Health Services Administration’s Center for Substance Abuse Treatment (SAMHSA/CSAT), is part of SAMHSA’s Best Practices (BP) Program.  The ATTC grantees offer training, technical assistance, and meetings to substance use disorders treatment practitioners in their States and regions.  This report provides analyses on the demographic characteristics collected on all individuals who participated in activities under the ATTC program.

Participants attend events (technical assistance workshop, a specific training, or a meeting) designed to help them adopt evidence-based practices and, generally, improve their skills in helping clients achieve and maintain recovery from substance use disorders.  Every participant in ATTC activities receives an intake BP GPRA upon completion of an event and is supposed to complete a follow-up BP GPRA (same as intake) 30 days later.

CSAT was asked by the Office of Management and Budget to determine whether there are differences between participants responding and not responding to the required 30-day follow-up.

Method

To examine differences between ATTC participants who responded to the 30-day follow-up and those who failed to respond, CSAT conducted analyses on the following characteristics:  gender, race, job title, and description of organizational affiliation. 

These baseline analyses were stratified into four separate categories of participants:  participants who are due and have a follow-up interview (group 1), participants who are due but do not have a follow-up (group 2), participants who are not due for a follow-up (group 3), and all baseline interviews (group 4).
















Results

Gender:  There are no differences between Best Practices (BP) Program participant follow-up respondents and non-respondents with respect to gender.  This finding is evidenced by the fact that in all four percentile distributions males comprise approximately 32% and females represented approximately 64 percent (the missing row includes those respondents without identification of gender).  

Gender
Group
All Baselines (4)

Due and have followup (1)
Due but do not have followup (2)
Not due for followup (3)


N
%
N
%
N
%
N
%
Missing
584
3.5
2,850
4.1
7
1.7
3,441
4.0
Don't Know
0
0.0
5
0.0
0
0.0
5
0.0
Refused
4
0.0
26
0.0
0
0.0
30
0.0
Male
5,299
32.0
22,434
32.0
124
30.1
27,857
32.0
Female
10,649
64.4
44,693
63.8
281
68.2
55,623
64.0
Total
16,536
100.0
70,008
100.0
412
100.0
86,956
100.0


Race/Ethnicity:  For the demographic characteristic of identifying as Hispanic/Latino, there appear to be no notable differences between BP Program participant respondents to the follow-up and non-respondents.  For all four categories of participants, 11 to 13 percent identified themselves as being of Hispanic\Latino ethnicity.

Ethnicity
	    

Hispanic Latino
Group
All Baselines

Due and have followup
Due but do not have followup
Not due for followup


N
%
N
%
N
%
N
%
Missing data
860
5.2
4,657
6.7
23
5.6
5,540
6.4
Don't know
0
0.0
4
0.0
0
0.0
4
0.0
Refused to answer
23
0.1
89
0.1
0
0.0
112
0.1
No
13,464
81.4
56,001
80.0
344
83.5
69,809
80.3
Yes
2,189
13.2
9,257
13.2
45
10.9
11,491
13.2
Total
16,536
100.0
70,008
100.0
412
100.0
86,956
100.0








Race

There are no notable differences between program participant respondents and non-respondents (to the follow-up) with respect to race.  This finding is supported by the percentile distributions in all four categories being comparable by race.  For example, approximately 65% of participants in each group self-identified as White and those who self-identified as Asian were about 2 percent of each response category. 

Race
Group
All Baselines (4)

Due and have followup (1)
Due but do not have followup (2)
Not due for followup (3)


N
%
N
%
N
%
N
%
Missing
1,694
10.2
8,791
12.6
36
8.7
10,521
12.1
Black
2,385
14.4
12,850
18.4
64
15.5
15,299
17.6
Asian
321
1.9
1,480
2.1
9
2.2
1,810
2.1
White
11,482
69.4
43,410
62.0
287
69.7
55,179
63.5
Alaska Native
37
0.2
153
0.2
0
0.0
190
0.2
American Indian
436
2.6
2,233
3.2
10
2.4
2,679
3.1
Native Hawaiian
110
0.7
745
1.1
2
0.5
857
1.0
Multi-Racial
71
0.4
346
0.5
4
1.0
421
0.5
Total
16,536
100.0
70,008
100.0
412
100.0
86,956
100.0

Job Title:  There are no differences between follow-up respondents and non-respondents with respect to job title.  This finding is evidenced by the fact that in all four percentile distributions “counselor” was the job title most frequently selected (approximately 29% of each response category).  The other job title categories (e.g. nurse, manager/director) accounted for very similar proportions of every response category.
 
Job Title
Group
All Baselines (4)

Due and have followup (1)
Due but do not have followup (2)
Not due for followup (3)


N
%
N
%
N
%
N
%
Missing data
1,154
7.0
4,895
7.0
14
3.4
6,063
7.0
Medical Director
60
0.4
282
0.4
1
0.2
343
0.4
Physician
157
0.9
547
0.8
5
1.2
709
0.8
Nurse
450
2.7
1,997
2.9
10
2.4
2,457
2.8
Physician's Assistant
15
0.1
103
0.1
2
0.5
120
0.1
Pharmacist
13
0.1
121
0.2
0
0.0
134
0.2
Manager/Director
1,459
8.8
4,901
7.0
50
12.1
6,410
7.4
Clinical Administrator/Manager
1,217
7.4
4,308
6.2
28
6.8
5,553
6.4
Clinical Supervisor
963
5.8
3,392
4.8
25
6.1
4,380
5.0
Psychologist
511
3.1
2,028
2.9
12
2.9
2,551
2.9
Counselor
4,567
27.6
20,557
29.4
131
31.8
25,255
29.0
Social Worker
1,742
10.5
8,312
11.9
35
8.5
10,089
11.6
Federal Government Official
108
0.7
502
0.7
3
0.7
613
0.7
State Government Official
566
3.4
2,169
3.1
6
1.5
2,741
3.2
County Government Official
219
1.3
979
1.4
6
1.5
1,204
1.4
Researcher
270
1.6
870
1.2
3
0.7
1,143
1.3
Other
3,056
18.5
14,006
20.0
81
19.7
17,143
19.7
Total
16,536
100.0
70,008
100.0
412
100.0
86,956
100.0

Organizational Affiliation:  There are no notable differences between follow-up respondents and non-respondents with respect to organizational affiliation.  This finding is supported by the percentile distributions in all four response categories being very comparable with regard to where the trainees work.  For example, in all four response categories, about 35% of the trainees work in a substance abuse treatment program.


Organization Description
Group
All Baselines (4)

Due and have followup (1)
Due but do not have followup (2)
Not due for followup (3)


N
%
N
%
N
%
N
%
Missing data
1,343
8.1
6,115
8.7
28
6.8
7,486
8.6
Do not know
2
0.0
9
0.0
0
0.0
11
0.0
Refused to answer
4
0.0
41
0.1
0
0.0
45
0.1
Federal Government
396
2.4
1,654
2.4
10
2.4
2,060
2.4
State Government
2,588
15.7
10,934
15.6
41
10.0
13,563
15.6
County Government
1,168
7.1
5,644
8.1
46
11.2
6,858
7.9
Local Government
360
2.2
1,575
2.2
20
4.9
1,955
2.2
Substance Abuse Treatment Program
5,772
34.9
23,945
34.2
154
37.4
29,871
34.4
University or other Higher  education institution
1,293
7.8
5,317
7.6
18
4.4
6,628
7.6
Other
3,610
21.8
14,774
21.1
95
23.1
18,479
21.3
Total
16,536
100.0
70,008
100.0
412
100.0
86,956
100.0


Summary Discussion

After completing this descriptive analysis of participant follow-up respondents and non-respondents for ATTC Best Practices program attendees, the data clearly indicate non-respondents are very similar to the respondents.  When percentile distributions by multiple characteristics are so similar by follow-up response category, those that responded can be considered representative of all participants.  This analysis definitely increases confidence in the ATTC follow-up data for their Best Practices program.